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Selection of Normalization Technique for Weighted Average Multi-criteria Decision Making

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Book cover Technological Innovation for Resilient Systems (DoCEIS 2018)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 521))

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Abstract

One of the main challenges when evaluating resilience frameworks is the aggregation of different criteria. To calculate the final level of resilience we have to measure different criteria and then fuse the information to obtain a score. Normalization is a crucial step in any decision making process of evaluation of alternatives or frameworks. Normalization transforms heterogeneous criteria data (qualitative, quantitative, different units, etc.) into numerical and comparable data to enable aggregation (fusion) of criteria to determine the rating of decision alternatives. In this study, we evaluate the effects of different normalization techniques on the most well-known multi-criteria (MCDM) method, called Weighted Average (WA) or SAW (Simple Additive Weighting). A small case study for selecting resilience frameworks illustrates our assessment process for selecting the suitable normalization technique.

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Acknowledgements

This work was partially funded by FCT Strategic Program UID/EEA/00066/203 of UNINOVA, CTS.

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Authors and Affiliations

  1. Computational Intelligence Group of CTS/UNINOVA, Faculty of Sciences and Technology, Nova University of Lisbon, 2829-516, Caparica, Portugal

    Nazanin Vafaei, Rita A. Ribeiro & Luis M. Camarinha-Matos

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  1. Nazanin Vafaei
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  2. Rita A. Ribeiro
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  3. Luis M. Camarinha-Matos
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Correspondence to Nazanin Vafaei .

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Editors and Affiliations

  1. NOVA University of Lisbon, Monte da Caparica, Portugal

    Luis M. Camarinha-Matos

  2. NOVA University of Lisbon, Monte da Caparica, Portugal

    Kankam O. Adu-Kankam

  3. NOVA University of Lisbon, Monte da Caparica, Portugal

    Mohammad Julashokri

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Vafaei, N., Ribeiro, R.A., Camarinha-Matos, L.M. (2018). Selection of Normalization Technique for Weighted Average Multi-criteria Decision Making. In: Camarinha-Matos, L., Adu-Kankam, K., Julashokri, M. (eds) Technological Innovation for Resilient Systems. DoCEIS 2018. IFIP Advances in Information and Communication Technology, vol 521. Springer, Cham. https://doi.org/10.1007/978-3-319-78574-5_4

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  • DOI: https://doi.org/10.1007/978-3-319-78574-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78573-8

  • Online ISBN: 978-3-319-78574-5

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